MDDI 演讲稿 · 2026-05-08

高级政务部长陈杰豪在SCS晚宴暨科技领袖奖2026上的开幕致辞

高级政务部长陈杰豪在SCS晚宴暨科技领袖奖2026上的开幕致辞

Tan Kiat How · MDDI 高级政务部长 · How在SCS晚宴暨科技领袖奖颁奖典礼上的开幕致辞

要点

  • 新加坡数字经济2024年达1281亿新元(占GDP 18.6%),较2015年的8.3%大幅跃升,2019至2024年间复合年增长率为12%。
  • 科技劳动力规模已达约22.2万人(十年前约17.3万),女性占比40%,增长最快的岗位集中于人工智能、数据分析和网络安全领域。
  • 政府将通过"国家AI影响计划"为4万名科技专业人士提升技能,IMDA联合新加坡AI机构推出行业认证AI能力培训项目AIxTech,涵盖Claude、Codex、Gemini、GitHub Copilot及Kiro等工具。
  • AIxTech分两阶段实施——在线动手编程模块与专家主导学习社群,并将负责任AI开发理念从课程伊始便纳入其中,目前已获逾30个组织的支持。
  • 由IMDA与即将合并成立的"技能与劳动力发展局"(SWDA)联合主导,新加坡电脑学会、SGTech及科技人才集合(TTAB)共同参与的"科技工作未来"工作组正式成立,将研究科技行业结构、岗位与技能的演变。
  • 成立于2022年的SG数字领导力加速计划规模已翻倍至逾1600人,本晚迎来来自跨国企业和初创公司的21位新SG数字领袖加入。

完整译文(中文)

MDDI 英文原文译文 · 翻译日期: 2026-06-21

林美娟女士,新加坡电脑学会会长

SCS理事会成员

获奖者、各位嘉宾、女士们、先生们

开场

晚上好。很高兴今晚能与SCS社群共聚一堂——科技行业的业界领袖、从业者和朋友们——同时也庆祝今年科技领袖奖获奖者的成就。向各位获奖者致以最热烈的祝贺。尽管AI不断进步,但我认为它无法取代我们彼此之间的人际连结。正是这种连结,让这个社群如此充满活力、坚实有力。

就在上个月,我参加了SCS AI大会,在会上谈到了我们如何通过扩大后的TIP Alliance+努力,为来自高等学府、理工学院和自主大学、即将踏入职场的理工科毕业生重新构想职业阶梯的最初几级。看到整个行业生态系统以及SCS的大力支持,我深感欣慰。

我们都知道,许多应届毕业生对第一份工作感到焦虑,因为职业阶梯的最初几级正在消失。但我非常自豪,在新加坡,我们正在做一件独特的事情。我们共同努力,联合学校、政府、行业、雇主和学生本身,共同搭建并巩固雇主与学校之间的桥梁。也请为SCS鼓掌。这个社群在科技专业领域产生了真正的影响。

今晚,我想谈另一个我十分关心的重要话题,并从更宏观的角度来审视——不仅仅是踏入科技职场的应届毕业生。因为摆在我们面前的问题,不只关乎新入行者,而是关乎整个科技行业:我们的企业、我们的专业人士,以及在AI时代的未来几年,新加坡要保持充满活力的科技枢纽地位所需具备的条件。

在谈及这些问题之前,让我们先花一点时间,共同回顾这些年来我们所取得的成就。2015年,我们的数字经济约占GDP的8.3%。到2024年,已达到1281亿新元,占GDP的18.6%,这意味着我们经济每产生五元,约有一元来自数字经济。仅2019年至2024年间,我们的数字经济年复合增长率达12%,远高于整体GDP增速。ICT行业本身在五年内近乎翻倍,至今仍是我国增长最快的行业之一。这是非凡的进步。

我们的科技人才队伍不断壮大——不仅在规模上,在深度、多样性和专业化程度上亦有显著提升。新加坡目前约有22.2万名科技专业人士,比十年前的约17.3万人有所增加。但更能说明问题的,是这支队伍的结构变化。当今增长最快的岗位集中在人工智能、数据分析和网络安全领域——这些领域在十年前几乎还算不上独立的职业方向。我们走了多远,格局已大为不同。新加坡女性在科技行业中占比40%,在推动东南亚科技行业性别多元化与包容性方面,新加坡继续走在前列。我们做得很好。这表明,我们的劳动力队伍不仅仅是规模扩大,更是持续进化,达到了卓越的顶峰。

这是我们正在夯实的坚实基础:数字经济在GDP中的占比翻了一番有余;科技人才队伍逐年持续增长,所从事的工作更为复杂、更具影响力,与全球的联系也更加紧密。这是好消息。但与此同时,当我们谈论AI与转型时,我们也难以回避脚下正在发生的变局,以及随之而来的重大变化。

颠覆不止于就业

近年来,所谓"一人公司"的浪潮不断涌现——独立创始人凭借一己之力,将真实业务做到相当规模。他们通过整合AI代理、自动化工具和云服务,完成了过去需要整个团队才能完成的工作。营销、客户服务、软件开发、财务职能,均可由一人来运营,由AI承担繁重工作。

当然,我所描述的是一种更为极端的自动化形式,以及将AI嵌入企业组织的方式。但我将其作为一个思想实验:无论这种模式是否成为主流工作方式,趋势已然清晰。AI不仅仅是在改变个人工作者的工作方式,它正在改变整个公司的面貌。它正在重塑服务交付的经济逻辑、价值创造的方式以及企业竞争的模式。我们的总理黄循财先生也在上周劳动节集会演讲中谈到AI如何改变工作方式,几天前,国会花费超过七个小时讨论了由SG/NTUC提出的关于AI与就业的动议。

对于我们的科技行业而言,作为驱动AI的增长引擎,这是一次深刻的转变。讨论不能再仅仅局限于生产效率的提升,或是将AI叠加到现有工作流程之上。我们需要就AI对科技行业的影响提出更根本性的问题——AI将如何影响我国科技企业的商业模式,以及科技专业人士的职业发展。

今晚,我想谈三个方面。第一,AI驱动的颠覆对我们的科技企业——尤其是提供客户服务的企业——意味着什么。第二,对我们的科技专业人士在技能与就业方面意味着什么。第三,我们未来需要怎样的科技领袖。

这对我们科技服务企业意味着什么

让我先从科技服务提供商谈起——系统集成商、咨询公司、IT运营与维护企业。在座许多人都是这些企业的领导者。你们凭借精锐的工程师队伍、成熟的交付方法论以及与客户建立的信任关系,打造了强大的公司。但这一商业模式的根基正在受到考验。

如今,AI工具已经能够生成代码库的大部分内容,处理并解决相当比例的支持工单,起草系统设计方案,并自动化例行维护工作。当客户开始质疑为何还要为工程师买单、而AI代理可以在极短时间内完成大部分工作时,以人力、可计费工时和按时间与材料计费合同为基础的传统价值主张将承受巨大压力。

我之所以提出这一点,是因为我知道你们中许多人已经在思考这个问题。过去几个月我与许多人交流过。但我想就我认为机遇所在之处分享几点观察。

第一,能够蓬勃发展的企业,是那些向价值链上游迁移、从交付人力转向交付成果的企业。客户将不再为人头数或工时付费,而是为问责制、集成能力、安全保障以及能够端到端解决真实业务问题的可信赖伙伴关系付费。那些能够实现这一目标、以AI赋能团队而非取代其价值的企业,将处于更有利的位置。

第二,竞争格局正在扩大。规模较小的公司,甚至小型团队,现在也能承接过去只有大型企业才能胜任的工作。这对新加坡而言,既是竞争挑战,也是机遇。这是我们的企业以小博大、与大型企业在更公平的竞争环境中同台竞技的机遇。新的本土领军企业可能从意想不到的地方涌现,也许就在今晚的会场之中。

第三,采纳速度至关重要。那些迅速尝试AI原生交付模式并从中汲取经验的科技企业,将远比那些等待尘埃落定后才着手行动的企业占据更有利的位置。这体现了我们科技行业许多企业的优势——灵活、敏捷、富有创业精神。当竞争环境更加公平时,机会窗口会大得多。现在正是趁热打铁、推动科技行业持续奋进与成长的时机。

这对我们科技专业人士意味着什么:技能

现在我来谈谈我们的科技专业人士。

在今年4月SCS AI大会的演讲中,我的重点是应届毕业生。但在我们22.2万名科技专业人士中,绝大多数已经在职。对现有科技人才队伍进行再培训和技能提升,是一个迫切的课题。

因此,我很高兴宣布,政府将通过国家AI影响力计划为4万名科技专业人士提升技能。在这一工作框架下,IMDA正与AI Singapore合作推出AIxTech——一项经行业验证的AI流利度项目。该项目将为科技专业人士和最后一年的IDT学生提供从编写代码到编排端到端智能体AI系统的AI能力培训。

AIxTech有三个值得重点介绍的特色。

第一,学员将能够获取来自全球各地的广泛领先AI工具,这些工具将定期更新,以随着技术演进保持相关性。学员将在Claude、Codex、Gemini、GitHub Copilot和Kiro等领先AI编程解决方案中获得多元化的实操经验。

第二,AIxTech的设计旨在满足忙碌专业人士的实际需求。第一阶段提供在线模块,含实操编程工作流程培训,专业人士可根据自身工作安排灵活学习。第二阶段主要通过专家主导的学习社区提供课后支持,帮助这些专业人士将新技能应用到工作场所。

第三,负责任的AI发展从一开始就内嵌于计划之中,而非事后附加。我们的专业人士在运用AI进行构建时,也应具备安全、合乎道德且负责任地开展工作的能力。

AIxTech已获得来自行业、行业协会、高等院校及政府机构逾30个组织的积极关注与早期支持。

这对我们科技专业人士意味着什么:就业

归根结底,当你们进行技能再培训时,关键在于就业以及在职场中保持竞争力。这是因为在设计课程时,我们始终依靠业界与我们共同创建并验证。这包括ICT和非ICT行业的企业。

目前,我们约60%的科技人才在金融服务、专业服务和制造业等非ICT行业就业,且这一比例增速更快。仅有40%的科技人才在科技公司本身工作。

这一60/40的比例意义重大。因为大多数关于AI的讨论往往聚焦于科技公司。但更重要的议题和更难回答的问题,恰恰存在于非科技企业的IT部门之中。

在AI原生时代,内部IT部门的职能是什么?如果大量日常的系统管理、技术支持,乃至应用程序维护工作都可以由AI智能体和外部平台自动完成,这支团队的独特价值何在?我们如何重新设计他们的岗位职责,为他们赋予关键技能,使其成为公司成功不可或缺的力量?

如何将IT部门从一个运营系统的成本中心,转型为驱动业务变革的战略职能部门?

如何将科技专业人士培养成具备「AI双语」能力的领导者——他们既能深刻理解业务,又能将AI能力转化为各自行业的竞争优势?

当初级工程师所承担的大量入门级任务正逐步被自动化取代,我们又该如何培育下一代人才?

这些问题没有人能够单独回答。我们需要一如既往地做我们一直在做的事——汇聚生态系统中志同道合的伙伴,汇聚我们在新加坡的社群,共同讨论、思考解决方案并付诸行动。我们将持续壮大科技行业,并探索一条前行的道路。

因此,我非常高兴,我们将通过一个工作组来正式化并扩大与业界的互动工作,以研究科技工作的未来。SCS、SGTech和Tech Talent Assembly(TTAB)已同意牵头与其成员及网络展开沟通,广泛征集关于科技行业、团队、岗位及技能如何演变的意见。他们将与处于各个职业阶段、任职于不同类型企业的科技专业人士进行交流。

该工作组将由IMDA和Workforce Singapore(WSG)共同牵头——WSG将与SkillsFuture Singapore(SSG)合并,组建技能与劳动力发展局(SWDA)——并以SCS、SGTech和TTAB为成员。我们将共同在生态系统层面确定行动方向,例如为本地科技企业识别市场机会、如何提升科技人才的能力(包括仍在就学的学生),以及审查现有政策或制定新的政策与干预措施。

一个研究科技工作未来的工作组,本身也需要以科技的方式运作——持续整合理念,持续输出洞见。我们将在成果就绪时发布,而非等到完美时才发布,并持续迭代和完善,就像今天软件的开发方式一样。我们希望在未来几个月内交付阶段性成果。

MDDI期待与业界和专业人士共同参与这场对话。如果我们能做好这件事,我们不仅是在守护现有岗位,更是在为我们的科技行业创造新的竞争优势,为我们的专业人士创造优质就业机会,并巩固新加坡作为区域数字经济中心的地位。我要感谢总裁Cher Pong、总裁Dilys、会长Bee Kwan、主席Nicholas和主席Maxim在这方面的积极推动。

培育新加坡所需的科技领导者

请允许我简要谈谈第三个方面——我们应如何持续吸引和培育新加坡顶尖的科技领导力。

如果我们希望新加坡成为区域数字经济的重要节点,我们需要能够引领全球AI、网络安全和前沿技术讨论的领导者。这正是IMDA于2022年启动SG Digital Leadership Accelerator的原因——旨在壮大一支立足新加坡的强大科技领袖社群。我很高兴地分享,自2022年以来,这一社群规模已翻倍,目前拥有逾1,600名成员。

今晚,我们欢迎21位新一届SG Digital Leaders加入这一社群,他们将在跨国公司和初创企业中推动AI及前沿科技的讨论。

让我举两个例子,展示这一网络中领袖的素质与水准。Dr Alvin Chan是Neeuro的创始人,他从新加坡出发,推动AI驱动的神经技术发展,并在全球范围内引领AI与前沿技术的讨论。Shanice Choo是全球顶级国际律师事务所之一Clifford Chance的亚太区创新主管,她的经历充分体现了数字化领导力在传统科技行业之外日益凸显的重要性,折射出数字化与AI能力正如何深刻影响专业服务领域的讨论。

这正是新加坡需要更多的领导力——技术精湛、商业敏锐、具有全球视野,同时扎根新加坡的专业人士。

结语

请允许我回到开篇的主题作结。AI时代的颠覆性冲击是真实存在的。它将重塑我们专业人士的职业发展轨迹、科技企业的商业模式,以及内部IT部门在各行各业中所扮演的角色。

没有人能够完整预见这一切将走向何方。但我们的回应不能是等待。新加坡的科技行业从来都不是为等待者准备的地方。

如果我们做对了这件事——转型我们的企业、为专业人士提供再培训、吸引顶尖领导者并共同开辟新路径——我们将为新加坡创造新的竞争优势。我们将继续成为优质科技岗位的孵化之地、雄心勃勃的科技企业成长与扩张的舞台,以及区域内最优秀科技人才向往汇聚的地方。

非常感谢大家的支持,我期待你们每一位在塑造未来的过程中发挥重要作用。

英文原文

MDDI 官网原始记录 · 抓取日期: 2026-06-21

Ms Lim Bee Kwan, President, Singapore Computer Society

Council Members of the SCS

Award recipients, distinguished guests, ladies and gentlemen

Opening

A very good evening. It is a pleasure to be here this evening amongst the SCS community – industry leaders, practitioners and friends from the tech sector, as well as to celebrate the achievements of this year’s Tech Leader Award recipients. To all the awardees – my heartiest congratulations. Even though AI has progressed, I think it doesn't replace this human connection that we all have with one another. That is what makes this relationship in this community so vibrant and strong.

Just last month, I joined you at the SCS AI Conference, where I spoke about how, through the expanded TIP Alliance+ effort, we are re-imagining the early rungs of the career ladder for tech graduates from institutes of higher learning, polytechnics, and autonomous universities entering the workforce. I am heartened to see the strong support from the entire industry ecosystem as well as SCS.

We all know that many fresh graduates from our schools are anxious about their first job because the early rungs of that career ladder are disappearing. But I am very proud that in Singapore, we are doing something unique. We come together and work together with schools, government, industry, employers and the student themselves. We build and strengthen the bridge between employers and the school. Please give SCS a round of applause too. This community has made a real difference in terms of the tech profession.

Tonight, I would like to speak on another important topic that is close to my heart and take a wider perspective. Beyond the fresh graduates entering the tech workforce. Because the questions before us are not only about new entrants. They are about the entire tech sector. Our companies, our professionals, and what it will take for Singapore to remain a vibrant tech hub in the years ahead in the age of AI.

Before I turn to those questions, let us take a moment to acknowledge how far, collectively, we have come over the years. In 2015, our digital economy contributed roughly 8.3 per cent of our GDP. In 2024, it reached $128.1 billion or 18.6 per cent of GDP, which means that for every five dollars our economy generates, about one dollar comes from the digital economy. And between 2019 and 2024 alone, our digital economy grew at a compound annual growth rate of 12 per cent, well ahead of our overall GDP growth. The ICT sector itself nearly doubled over those five years and remains one of the fastest-growing sectors in our economy. This is remarkable progress.

Our tech workforce has grown — not just in size, but in depth, diversity and sophistication. We now have around 222,000 tech professionals in Singapore, up from approximately 173,000 a decade ago. But more telling, is the shift in the profile of that workforce. The fastest-growing roles today are in artificial intelligence, data analytics, and cybersecurity – fields that barely registered as distinct professions ten years ago. How far we have come and how different the landscape is. With 40% of women in technology, Singapore remains at the forefront of promoting greater gender diversity and inclusion in the tech industry within Southeast Asia. We have done well. This tells us that our workforce has not simply expanded, it has evolved and become a pinnacle excellence.

This is a strong foundation we are building on. A digital economy that has more than doubled its share of GDP. A tech workforce that is continually growing year-on-year, and is doing work that is more sophisticated, more consequential, and more globally connected. That is the good news. But at the same time as we talk about AI and transformation, we are not immune to this shifting sense below our feet and the big changes that may happen.

The disruption is bigger than jobs

There has been a growing wave of so-called “one-person companies”, which are solo founders running real businesses at meaningful scale. They do so by stitching together AI agents, automation tools and cloud services to do the work that used to require entire teams. Marketing, customer service, software development, finance functions can all be run by one person, with AI doing the heavy lifting.

Of course, what I’ve described as is a more extreme form of automation and embedding AI in organisations. But I use it as thought experiment, whether or not this becomes the dominant way of working, the trend is clear. AI is not just changing what individual workers do. It is changing what an entire company looks like. It is reshaping the economics of how services are delivered, how value is created, and how companies compete. Our Prime Minister Mr Lawrence Wong also spoke about how AI is transforming how work is done during his May Day Rally speech last week, and a few days ago, Parliament took over more than seven hours to discuss the motion on AI and jobs that was tabled by the SG/NTUC.

For our tech sector, it is growing engine powering AI, this is a profound shift. The conversation can no longer just be about productivity gains or about layering AI onto existing workflows. We need to ask more fundamental questions about the implications to the tech sector and tech profession – how AI will impact the business models of our tech companies, and the careers of our tech professionals.

Tonight, I want speak about three areas. First, what AI-powered disruption means for our tech companies, especially those providing client services. Second, what it means for our tech professionals when it comes to skills and jobs. Third, what kind of tech leaders we need moving forward.

What this means for our tech service companies

Let me start with our tech service providers – the systems integrators, consultancies, IT operations and maintenance firms. Many of you in this room lead these businesses. You have built strong companies on the back of skilled engineers, well-honed delivery methodologies, and trusted relationships with your clients. But the foundations of this business model are being tested.

Today, AI tools can already generate large parts of a codebase, triage and resolve a meaningful share of support tickets, draft system designs, and automate routine maintenance. The traditional value proposition built around manpower, billable hours, and time-and-materials contracting will come under pressure as clients ask why they should pay for engineers when AI agents could do much of the work in a fraction of the time.

I raise this because I know many of you are already thinking about this. I spoke to many of you in the last few months. But I want to offer a few observations on where I think the opportunities lie.

Firstly, the companies that will thrive are those that move up the value chain, from delivering manpower, to delivering outcomes. Instead of paying for headcount or hours, clients will pay for accountability, for integration, for security, for trusted partnerships that solve real business problems end-to-end. The companies that can deliver that, with AI augmenting their teams rather than replacing their value, will be in a stronger position.

Secondly, the playing field is widening. Smaller companies, even small teams, can now take on work that used to be the preserve of much larger players. That is both a competitive challenge and an opportunity especially for Singapore. It is an opportunity for our firms to punch above our weight and compete with larger firms to be on a more level playing field. New local champions may emerge, including from places we may not expect, perhaps somewhere in the room as well

Thirdly, the speed of adoption matters. The tech companies that experiment quickly with AI-native delivery models and learn from those experiments will be far better placed than those who wait for the dust to settle before getting started. It speaks to our strength of many of us in the tech sector – nimble, agile. entrepreneurial. When there is a level-playing field, the windows of opportunities are much wider. Now, it’s for us to strike when the iron is hot and for the tech sector to continue to strive and grow.

What this means for our tech professionals: Skills

I now turn to our tech professionals.

In my speech at the SCS AI Conference in April, I focused on fresh graduates. But the bulk of our 222,000 tech professionals are already in the workforce. The question of reskilling and upskilling our existing tech workforce is an urgent one.

So, I am pleased to announce that the Government will upskill 40,000 tech professionals through the National AI Impact Programme. Under this effort, IMDA is partnering AI Singapore to launch the AIxTech, an industry validated AI Fluency programme. The programme will equip both tech professionals and final-year IDT students with AI competencies from writing code to orchestrating end-to-end agentic AI systems.

Three features of AIxTech are worth highlighting.

First, learners will get access to a wide portfolio of leading AI tools from around the world which will be refreshed regularly to stay relevant as the technology evolves. Trainees will gain versatile, hands-on experience across leading AI coding solutions such as Claude, Codex, Gemini, GitHub Copilot, and Kiro.

Second, AIxTech is designed to meet the busy professionals where you are. Phase 1 offers online modules with hands-on coding workflow training that professionals can fit around their work schedules. Phase 2 offers post-course support primarily through an expert-led learning community to help these professionals in applying their new skills to their workplaces.

Third, responsible AI development is built into the programme from the start and not bolted on as an afterthought. As our professionals build with AI, they should also be equipped to do so safely, ethically, and accountably.

AIxTech has already drawn very good early interest and support from over 30 organisations across industry, trade associations, institutes of higher learning and government agencies.

What this means for our tech professionals: Jobs

Ultimately, when you reskill yourselves, it is about jobs and being relevant in the workplace. This is because in designing our programmes, we have always leaned on industry to co-create and validate them with us. This includes both companies in the ICT and non-ICT sectors.

Today, about 60 per cent of our tech workforce work in non-ICT sectors, such as financial services, professional services, and manufacturing. And this is the faster-growing share. Only 40 per cent are in tech firms themselves.

This 60-40 split is significant. Because much of the AI conversation tends to focus on tech companies. But the bigger story and the harder questions sit in the IT departments of our non-tech companies.

What is the in-house IT function for, in an AI-native era? If much of your routine systems administration, helpdesk support, and even application maintenance can be automated or handled by AI agents and external platforms, what is the unique proposition of the team? How can we redesign their job roles and equip them with key skills to enable them to be crucial to the success of company?

How do you reposition the IT department from a cost centre that runs systems to a strategic function that drives business transformation?

How do you grow the tech professionals into AI-bilingual leaders who deeply understand the business, and can translate AI capabilities into competitive advantages in their sectors?

And how do you nurture the next generation, when many of the entry-level tasks done by junior engineers are being automated?

These are not questions any one of us can answer alone. We require what we’ve always done – bringing together like-minded partners in the ecosystem, the community we have here in Singapore, and coming together to discuss, think of solutions and act. We continue to grow the tech sector and pathfind a way forward.

Thus, I am very glad that we will formalise and expand our industry engagement efforts through a workgroup to study the Future of the Tech Work. SCS, SGTech, and the Tech Talent Assembly (TTAB) have agreed to lead engagements with their members and networks to canvass views on how the tech industry, teams and jobs and skills are changing. They will speak to tech professionals across all career stages and in different archetypes of firms.

This workgroup will be co-led by IMDA and Workforce Singapore (WSG), which will be merged with SkillsFuture Singapore (SSG) to form Skills and Workforce Development Agency (SWDA), along with SCS, SGTech and TTAB as members. Together, we will identify moves at the ecosystem level, such as identifying market opportunities for our local tech businesses, how to build capabilities in our tech workforce, including those who are still in school, and review existing or develop new policies and interventions.

A workgroup that studies the future of tech work needs to operate the way tech does — with continuous integration of ideas and continuous delivery of insight. We will ship what we learn when it is ready, not when it is perfect, and continue to iterate and refine, just like how software is built today. We hope to deliver something in the coming months.

MDDI looks forward to be part of this conversation with industry and professionals. If we get this right, we are not just securing existing jobs. We are creating new competitive advantages for our tech sector, good jobs for our professionals, and for Singapore as a regional digital economy hub. I would like to thank CE Cher Pong, CE Dilys, President Bee Kwan, Chairman Nicholas, and President Maxim for leaning forward in this.

Developing the tech leaders Singapore needs

Let me turn briefly to the third element, on how we should continue to attract and develop top tech leadership in Singapore.

If we want Singapore to be an important node in the regional digital economy, we need leaders who can shape global conversations on AI, cybersecurity, and frontier technology. That is why IMDA started the SG Digital Leadership Accelerator in 2022, to grow a strong community of tech leaders based here in Singapore. I am happy to share that we have doubled this community since 2022 and it is now more than 1,600-strong.

And tonight, we welcome into this community a new cohort of 21 SG Digital Leaders who will help drive AI and frontier tech conversations across multinational corporations and start-ups.

Let me give you two examples of the calibre of leaders in this network. Dr Alvin Chan is the founder of Neeuro, driving AI-powered neurotechnology from Singapore and shaping global conversations on AI and frontier technology. Shanice Choo is APAC Innovation Lead at Clifford Chance, one of the world's leading international law firms, where she exemplifies the growing importance of digital leadership beyond the traditional tech sector, reflecting how digital and AI fluency is increasingly shaping conversations in professional services.

This is the kind of leadership Singapore needs more of - professionals who are technically excellent, commercially sharp, globally connected, and anchored here in Singapore.

Closing

Let me close where I began. The disruption ahead of us in the age of AI is real. It will reshape the careers of our professionals, the business models of our tech firms, and the role of in-house IT in every sector of our economy.

None of us has a complete map of where this is heading. But our response cannot be to wait. The tech sector in Singapore has never been a place for those who wait.

If we get this right, if we transform our companies, reskill our professionals, attract top leaders, and build new pathways together – we will create new competitive advantages for Singapore. We will continue to be a place where good tech jobs are created, where ambitious tech firms can build and scale, and where the brightest tech talents in the region want to be.

Thank you very much for your support, and I look forward to all of you playing an important role in shaping the future.